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Вернуться к Mathematics for Machine Learning: Linear Algebra

Отзывы учащихся о курсе Mathematics for Machine Learning: Linear Algebra от партнера Имперский колледж Лондона

Оценки: 7,495
Рецензии: 1,493

О курсе

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

Лучшие рецензии


Aug 26, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.


Sep 10, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

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1326–1350 из 1,486 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

автор: Fatima,Safa

Jun 18, 2020

Wish it was a bit more spontaneous but overall great content!!

автор: Gautam K

Mar 07, 2019

Highly recommended course for beginners in Machine Learning.

автор: Mark R

Jan 03, 2019

Good grounding in the fundamental mathematics needed for ML

автор: Alagu P P G

Jun 18, 2020

good start up for algebra enthusiasist.

a strong foundation

автор: Gana

Apr 23, 2020

I felt that lectures aren't enough to solve the exercises.

автор: celwang

Mar 24, 2020

good course ! but some of the formula should be more clear

автор: wanglanri

Jun 25, 2018

The core idea of eigenvalue and eigenvector is very good.

автор: Alisa G

Apr 25, 2020

great teachers, very practical quizzes and examples!

автор: Long Q

Oct 10, 2018

not bad, I feel the information is not enough for ML

автор: Rahul S

Jun 21, 2020

like a building blocks for one step forward into AI

автор: Aniruddhan P N

May 29, 2020

Excellent Introduction to the concepts, Thank you!

автор: adam m

Feb 12, 2019

reasonably well constructed and presented material

автор: Abhishek K J

Apr 19, 2020

Good Course, Best Videos, Excellent Understanding

автор: Manish C

Apr 16, 2020

well made course for machine learning foundation

автор: Tasfiq R

Jun 29, 2020

Great course.Animation can be addes for pagerank

автор: PK ( R

Mar 21, 2019

Great way to build foundation in Linear Algebra

автор: Jay S S

Jul 27, 2020

Fast paced interesting course. Lots to learn!

автор: 何霄

Feb 23, 2020

clearly explain all the key concepts in la

автор: Ratnakar

Jun 01, 2018

Very engaging course and right on spot!!!

автор: Andres O

May 25, 2018

Very good linear algebra intro/refresher

автор: Richard P

Jul 15, 2020

Great knowledge at an affordable price

автор: Salah E

Jun 30, 2020

it is very hard course yet very useful

автор: Nirmala R

Jun 03, 2020

Week 5 was bit difficult to comprehend

автор: Ritwik M

May 17, 2020

Prof. Sam is a bit hard to understand.

автор: danthedoubleD

Feb 23, 2019

good stuff hopefully, i will be useful